# TODO: the vectors should be reformated as [a,b,c] instead of [a b c]'

# Random, feasible conic problem (no exponential or SDP cones)
# Problem data taken from https://github.com/cvxgrp/scs/blob/master/examples/raw/demo_data
function feasible_basic_conic(T)
    n = 11
    m = 112

    f = 0
    l = 100
    ep = 0
    ed = 0
    q = [12]
    s = Int[]

    b = [1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 1.000000000000000000 0.500000000000000000 0.000000000000000000 0.000000000000000000 0.000000000000000000 0.000000000000000000 0.000000000000000000 0.000000000000000000 0.000000000000000000 0.000000000000000000 0.000000000000000000 0.000000000000000000 -0.500000000000000000]'
    c = [-3.687045235791087894 -3.143065318037093103 2.289111017442006180 1.817854752120232842 1.515395029041534336 -0.621501577833336483 0.896216656096898490 -0.946791055758523736 1.016669273321816114 -0.487162812452204275 1.000000000000000000]'

    colptr = vec([0 101 202 303 404 505 606 707 808 909 1010 1012]')
    rowval = vec([0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 101 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 102 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 103 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 104 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 105 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 106 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 107 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 108 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 109 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 110 100 111]')
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-1.000000000000000000]

    A = SparseMatrixCSC(m, n, colptr + 1, rowval + 1, vec(values))

    sol = SCS_solve(T, m, n, A, b, c, f, l, q, s, ep, ed, Float64[])
    @test sol.ret_val == 1
end

# Feasible conic problem with exponential cones (no SDP cones)
# Problem data taken from https://github.com/cvxgrp/scs/blob/master/examples/raw/randomConeFeasible
function feasible_exponential_conic(T)
    n = 24
    m = 71
    f = 10
    l = 10
    ep = 10
    ed = 5
    q = [0,1,0,2,3]
    s = Int[]

    b = [-0.883995908378185202 0.247092008779755457 0.000000000000000000 -0.908862166109580594 0.493908919902298627 0.215008446366246719 -0.756619621167477718 -0.244711519515723036 -2.185656700286640941 -1.777454077348217920 1.191220488872941186 -0.072631913036035556 -0.884888299606113149 -3.097264426296667761 -0.491714244502094944 0.820612279439398518 -5.027612089838516596 -0.218768971520485273 -1.779020210515877221 0.000000000000000000 1.049908711514835780 0.423746551400514093 -0.078381703192688112 -0.387520318558316479 0.959884766721948446 -0.080140759738691447 1.300716537987696597 -0.217623259095584554 -0.772345449741623336 -0.014345948596158398 2.002325668310177775 2.019795133016943467 1.285967533112210681 -0.503689333815666940 3.004968290408826626 -1.438380292815098382 -0.801360722211995502 0.731209144814713885 -2.639460367287462361 1.255602400085220394 -0.301008710647552635 0.478491654540030953 -0.984259121708334739 0.276318763804415002 0.631004508865874447 1.808914085971600416 0.379215625232032671 -0.627707287528726510 -1.823589846592805763 0.000000000000000000 0.376255266738256766 0.577717062577191354 1.119478389802739615 0.977520182221270906 0.000000000000000000 3.417141674635829851 -0.093825387556597556 -1.780472058822893722 1.589707484189159858 0.133747881756402398 1.316803247114450848 -0.153152367127352751 -1.712195041092097192 -0.151457896071195447 1.216498217552836492 0.610011299767568738 4.095401319683990238 -0.761957853948331154 -0.485158172250699793 -1.990510613776122817 1.151843011380725867]'
    c = [1.126284961639569149 0.474697659805094763 -2.123033959497108825 4.908405709073863754 1.205680866991396316 -0.305211910012288978 -6.293810724494532494 -0.698794364791622713 2.279737335846038437 -0.945550079347313055 -0.727867522608193762 -1.869349988323733891 -3.748045451887451307 1.125456539838578518 0.750188573436658457 1.255406629974515686 -4.887321053728165055 4.021564105931883404 0.000000000000000000 -5.091850958321861853 -0.068986990722853969 -1.715673120575787136 0.036366854219751360 -3.625427280331933400]'
    colptr = vec([0 7 12 18 24 34 37 43 47 54 59 68 79 87 93 101 111 119 127 128 139 141 150 154 162]')
    rowval = vec([5 17 22 31 55 65 69 12 18 30 34 58 9 11 13 18 30 66 0 10 17 18 44 58 5 6 7 26 29 31 53 57 61 67 39 43 68 3 9 13 14 16 21 7 36 38 55 4 12 21 27 40 46 66 3 26 34 44 53 5 11 17 27 31 37 42 45 63 13 22 24 33 36 40 50 56 58 64 65 6 10 13 16 18 23 41 44 17 31 41 46 55 58 16 20 33 38 42 58 62 64 7 13 18 21 26 36 45 52 56 60 8 15 21 30 33 48 53 64 1 5 11 16 23 24 28 39 37 5 8 28 30 41 55 57 59 61 64 67 56 70 0 3 10 18 22 34 37 42 65 16 25 51 65 5 13 24 28 32 36 40 55]');
    values = [0.155488995903893978 -0.062791225718324961 -0.723631125289072807 -0.238301504589733010 -1.222593380186629552 0.176577794642316321 0.705885019349415832 -1.327043149520291010 -0.054886129988677361 0.595357673884101768 -0.608557444738319409 -0.345065971567320995 0.312023828329273611 0.600142508808629960 0.401844497039814952 -1.118732002452724972 1.046832784305231856 2.003390610862264776 -0.289963040800027938 -0.723121479570418058 -2.021958930051789505 -0.626378538867138679 1.223062551733806957 1.012801864262980134 0.818551368521000522 -0.493009815316450606 0.045841105713705040 0.571247629714476068 -0.131820352915893585 0.229596893220313791 0.245804851893843240 -0.300111005615675885 -0.438141355602143678 -0.432003843727780446 2.787335227813435345 1.778255899291004472 -0.360076301153971601 1.174116751493714972 1.804493771724186901 1.470201280848519421 0.397466995795308642 1.516266896645952711 1.808862620519253950 -0.063783120022332648 0.910482579647111989 0.439952188872439920 0.316500360797716096 -1.481399071578779925 -1.441013597638914456 -1.079866250738828137 0.759568325914783404 -1.854299082689693901 0.066756911436865754 0.950993499549085408 0.126947068043645916 0.412796010311391848 -0.737059771697805455 -1.283256104604766579 0.070045209416807905 -0.292588130834394000 0.593930795648752730 -0.982131525779047831 -0.657201299098350344 0.439997904822629349 0.183703423091249041 0.541334435719376117 0.901931466951714444 -0.297697144009373027 -0.326814228785906158 -0.593250315010803608 -0.373070658631004248 0.601102032468295078 0.867082552947325391 -1.140681144669632330 -0.069214254022048366 -0.418903195029848852 0.629334584931418806 1.143678910770957513 0.970737823554688517 -0.180739356415037467 0.526547037749559022 0.812323004640795987 -0.032566509194480744 0.249517740562795132 0.942133319236942435 -0.433609296474823602 -2.328954516283341825 0.612511298166949270 -0.616865928889227422 -0.168469878275448348 0.035479485837577006 -1.342869236621930140 -0.213015082641054704 1.635999657278292441 -0.640709506726057532 0.092307951238962266 0.101662443700341151 0.389266203843263880 -0.865697308360523721 0.983545235205556256 -0.531620117507069279 0.611335194065235954 0.545540103526115816 -0.993019006549600625 0.199189444075264455 -0.986961883351521907 -0.079892839058037096 -1.835638683735192345 0.235809672576244050 -0.140321722056366061 -0.270068812648098844 0.109317693774870342 -0.751894738681891606 -1.521026561768954677 -0.197958632611841989 1.729841391572364273 2.227168078167871546 -0.608580510079949288 0.972565728008653152 0.475424811707271355 -0.540786416488525767 -2.186021612748235476 -0.425058490610030815 0.300485967595730263 0.815488508092498399 -0.603918481376169214 -1.166665030194641073 0.290790134884453599 -0.308641815280113085 1.814015450280375585 0.176946822329411252 0.327678163907200726 -0.218533560026580531 -1.032184344072171189 1.029365712103099240 -1.043108301337626775 -0.408674314796325655 -0.522250484993548869 0.648940737363586706 0.899822328897223467 1.415849068436585423 1.261550718141148275 -0.656815928948082495 -0.260250861706116776 0.974950224811311550 0.401336339818801069 -1.749879306387625455 0.112944717021051230 0.751228984688332879 -0.413972274974230170 0.589433366718220664 0.120205281956355367 -0.507323064614498387 -0.438270518204901538 -1.096593301525472075 -1.051632309520848407 0.798886992156715880 -0.307503469862750567 0.274836786911666187 0.898475989377141793 -1.093343456239604494 1.331215885064973348]

    A = SparseMatrixCSC(m, n, colptr + 1, rowval + 1, vec(values))

    sol = SCS_solve(T, m, n, A, b, c, f, l, q, s, ep, ed, Float64[])
    @assert sol.ret_val == 1
end

# Feasible conic problem with exponential and SDP cones
# BLAS and LAPACK must be linked
# Problem data taken from https://github.com/cvxgrp/scs/blob/master/examples/raw/randomConeFeasibleSDP
function feasible_sdp_conic(T)
    n = 15
    m = 46
    f = 3
    l = 3
    ep = 2
    ed = 2
    q = [2,3,4]
    s = [2,3,4]
    b = [-0.757244022903780567 0.000000000000000000 -1.892151461056349238 -0.163643541176375057 0.000000000000000000 -1.081834184990333014 0.795686782662209935 -0.459554179861930256 0.000000000000000000 -0.021401100284139062 0.221822131770426145 0.624165617064677769 0.103992209313486683 0.383906342184775817 0.220548856781228653 0.207179552343107032 -0.251552024267611252 -0.940985378402204531 0.143203475268773417 -0.637990380166112425 -0.047725168844638927 -1.400142610548834821 -0.518640886812063995 -0.466344476203716551 -0.306977592331722393 -0.733266642509912470 1.636614964482892454 2.801678431332372821 0.542022232315772401 0.561733632830300200 -2.792150430434448882 0.679252001011406148 0.060935700608246268 1.017184097064012693 -1.472726175247485836 0.298927350489858801 0.283700004781893000 -5.946289176766917706 0.563505302268017871 1.728907659188164914 0.783139219605003434 0.241447041607357943 -0.100769851306178021 -0.312858596637428432 0.715583273231235939 0.030051296196268559]'
    c = [-0.159052113684804763 1.195574970454808206 0.354942838344536771 -0.144003787891437030 0.031108987439201756 -6.024128094309364911 -6.684198760055235056 -2.875770597510225901 -1.958442177032014397 -3.231061172173861795 -0.047201649069278366 -1.907845683517030544 0.605113199091042553 2.360164164701050726 -0.367619298880400125]'
    colptr = vec([0 3 11 18 24 25 30 36 39 44 47 48 51 56 61 66])
    rowval = vec([7 26 27 3 5 9 15 26 28 31 34 7 12 21 25 32 38 44 10 11 16 35 36 40 10 11 14 24 26 34 11 12 16 20 38 42 13 34 42 3 6 11 15 29 30 34 37 31 2 5 42 11 20 22 24 34 6 17 23 25 44 0 21 30 32 42]);
    values = [-0.067865553542687335 1.530072514424096086 1.603457298120044117 -0.334886938964047698 1.039090653504955997 -0.217606350143191934 0.307061919146703444 -0.249024742513713787 1.234679146890777846 -0.155941035724768945 0.391894209432449070 -0.195221197898754362 0.625190357087625714 -0.532011376808820713 -0.192239517539274762 -0.261163645776478603 -0.457014640871582556 -1.565056014150725039 -0.303107621351740908 0.051290355848774699 0.515246335524848553 -0.320575506600239257 0.012469041361617951 -1.066701398984749583 0.023045624425105282 0.826062790211595455 0.949221831131022542 -0.712004549027422495 -1.064213412889326804 -1.250678906826407477 1.526976686733372723 0.183227263001436963 0.261406324055382666 -0.162337672803827743 1.242448406390738391 0.933728162671238482 -1.029767543566621146 -0.947960922331432032 0.350321001356111605 0.552783345944550142 1.260658709120896281 0.466914435684700035 0.135174942099455658 -0.229626450963180490 -1.506159703979718989 -0.741106093940411492 -3.029177341404145629 0.276068253931536167 -0.848709379933659025 -1.117638683265208099 -0.029005763708726321 -0.209713338388736709 -0.146054634331526184 -0.875729346160017297 -1.174212331456816250 -0.507817550278173657 0.660143141046977688 -0.941485770955433732 -0.483815050110121103 -0.274070229932602216 -0.084539479817724195 0.455029556444334349 1.682103594663178825 -0.444627816446985402 0.443421912904091331 0.182452167505983420]

    A = SparseMatrixCSC(m, n, colptr + 1, rowval + 1, vec(values))

    sol = SCS_solve(T, m, n, A, b, c, f, l, q, s, ep, ed, Float64[])
    @test sol.ret_val == 1
end

# Feasible conic problem with power cones
function feasible_pow_conic(T)
    n = 9
    m = 28
    f = 5
    l = 5
    ep = 0
    ed = 0
    q = Int[]
    s = Int[]
    p = [-3.000000e-01,2.500000e-01,7.500000e-01,-4.000000e-01,8.700000e-01,-1.200000e-01]
    b = [-0.887386390749058451 1.868842541924223610 -0.755288651776904296 0.000000000000000000 0.000000000000000000 0.000000000000000000 -0.242379421582613414 0.000000000000000000 0.000000000000000000 0.000000000000000000 2.000257252427916743 0.841870176542910631 -1.245982120437818974 0.644136460056986104 -0.068037985179701416 0.041769615282582828 1.081088773255733271 1.417941447788496845 0.955133254978043800 2.477002457942629299 0.326964373865085811 0.322926943542406031 0.765172439731569787 1.673745381540497679 0.056224953164704453 0.024308325296160227 -0.492458408194795028 -0.193643481641372683]'
    c = [0.581324380640174887 0.000000000000000000 -1.274914899429569370 1.437959547820705897 0.178499636115030086 -2.834480531039399676 -0.465471220509626749 0.440187271984058437 1.655006387767208542]';
    colptr = vec([0 2 2 8 11 12 15 21 22 25])
    rowval = vec([11 19 10 11 14 18 19 26 1 19 23 2 1 14 19 0 1 10 14 23 26 16 0 6 18])
    values = [-0.511172207780700494 -0.557093642241281661 -0.322939921204497105 -0.002041345349432955 1.606510961119237413 -0.070499387778693703 -0.336705699002853465 1.122647857944874650 0.375041023696103593 0.415227462723155749 -2.444298897865559539 -2.377454293765433491 1.125161817875028225 0.847648634500925313 1.557813537123208025 0.400486023191097329 0.728641591773904751 0.317987915650739417 0.268100811901575309 -1.098195387799324019 0.581667258045274083 -0.923489085784077401 -1.341380722378574086 -0.273782415743900387 0.147891351014747152]

    A = SparseMatrixCSC(m, n, colptr + 1, rowval + 1, vec(values))

    sol = SCS_solve(T, m, n, A, b, c, f, l, q, s, ep, ed, p)
    @test sol.ret_val == 1
end
